Hongjin He

According to our database, Hongjin He authored at least 45 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

A multi-step inertial Bregman proximal DC algorithm and its application to solving some inverse problems.

Zhixue Wang, Chenjian Pan, Hongjin He

J. Comput. Appl. Math., 2026

2025

An Implementable Proximal Extragradient Method for Structured Fractional Programming.

Jiajun Hao, Hongjin He, Liangshao Hou

J. Optim. Theory Appl., November, 2025

2024

Robust tensor recovery via a nonconvex approach with ket augmentation and auto-weighted strategy.

Wenhui Xie, Chen Ling, Hongjin He, Lei-Hong Zhang

Numer. Linear Algebra Appl., December, 2024

A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging.

Hongjin He, Zhiyuan Zhang

J. Sci. Comput., December, 2024

A tensor train approach for internet traffic data completion.

Zhiyuan Zhang, Chen Ling, Hongjin He, Liqun Qi

Ann. Oper. Res., August, 2024

A Proximal Alternating Direction Method of Multipliers for DC Programming with Structured Constraints.

Yingxin Zhou, Hongjin He, Linan Zhang

J. Sci. Comput., June, 2024

A low-rank and sparse enhanced Tucker decomposition approach for tensor completion.

Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu

Appl. Math. Comput., March, 2024

A Partially Inertial Customized Douglas-Rachford Splitting Method for a Class of Structured Optimization Problems.

Yunfei Qu, Hongjin He, Deren Han

J. Sci. Comput., January, 2024

"Sparse + Low-Rank" tensor completion approach for recovering images and videos.

Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu

Signal Process. Image Commun., 2024

2023

A partially inexact generalized primal-dual hybrid gradient method for saddle point problems with bilinear couplings.

Kai Wang, Jintao Yu, Hongjin He

J. Appl. Math. Comput., October, 2023

Solving saddle point problems: a landscape of primal-dual algorithm with larger stepsizes.

Fan Jiang, Zhiyuan Zhang, Hongjin He

J. Glob. Optim., April, 2023

2022

Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD.

Hongjin He, Chen Ling, Wenhui Xie

J. Sci. Comput., 2022

A unified Douglas-Rachford algorithm for generalized DC programming.

Chih-Sheng Chuang, Hongjin He, Zhiyuan Zhang

J. Glob. Optim., 2022

An efficient alternating minimization method for fourth degree polynomial optimization.

Haibin Chen, Hongjin He, Yiju Wang, Guanglu Zhou

J. Glob. Optim., 2022

2021

A customized low-rank prior model for structured cartoon-texture image decomposition.

Zhiyuan Zhang, Hongjin He

Signal Process. Image Commun., 2021

A nonnegativity preserving algorithm for multilinear systems with nonsingular M-tensors.

Xueli Bai, Hongjin He, Chen Ling, Guanglu Zhou

Numer. Algorithms, 2021

An index detecting algorithm for a class of TCP(A, q) equipped with nonsingular M-tensors.

Hongjin He, Xueli Bai, Chen Ling, Guanglu Zhou

J. Comput. Appl. Math., 2021

A DCT-based Tensor Completion Approach for Recovering Color Images and Videos from Highly Undersampled Data.

Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu

CoRR, 2021

A partially proximal linearized alternating minimization method for finding Dantzig selectors.

Xiaoyu Mao, Hongjin He, Hong-Kun Xu

Comput. Appl. Math., 2021

2020

Convergence analysis of positive-indefinite proximal ADMM with a Glowinski's relaxation factor.

Jiawei Chen, Yiyun Wang, Hongjin He, Yibing Lv

Numer. Algorithms, 2020

A Double Extrapolation Primal-Dual Algorithm for Saddle Point Problems.

Kai Wang, Hongjin He

J. Sci. Comput., 2020

Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion.

Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu

CoRR, 2020

Generalized Tensor Complementarity Problems Over a Polyhedral Cone.

Liyun Ling, Chen Ling, Hongjin He

Asia Pac. J. Oper. Res., 2020

2019

Generalized tensor equations with leading structured tensors.

Weijie Yan, Chen Ling, Liyun Ling, Hongjin He

Appl. Math. Comput., 2019

2018

A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with ℳ-tensors.

Hongjin He, Chen Ling, Liqun Qi, Guanglu Zhou

J. Sci. Comput., 2018

Correction to: A partially isochronous splitting algorithm for three-block separable convex minimization problems.

Hongjin He, Liusheng Hou, Hong-Kun Xu

Adv. Comput. Math., 2018

A partially isochronous splitting algorithm for three-block separable convex minimization problems.

Hongjin He, Liusheng Hou, Hong-Kun Xu

Adv. Comput. Math., 2018

2017

A proximal partially parallel splitting method for separable convex programs.

Kai Wang, Jitamitra Desai, Hongjin He

Optim. Methods Softw., 2017

Improved approximation results on standard quartic polynomial optimization.

Chen Ling, Hongjin He, Liqun Qi

Optim. Lett., 2017

2016

An Implementable Splitting Algorithm for the ℓ₁-norm Regularized Split Feasibility Problem.

Hongjin He, Chen Ling, Hong-Kun Xu

J. Sci. Comput., 2016

A primal-dual prediction-correction algorithm for saddle point optimization.

Hongjin He, Jitamitra Desai, Kai Wang

J. Glob. Optim., 2016

Higher-degree eigenvalue complementarity problems for tensors.

Chen Ling, Hongjin He, Liqun Qi

Comput. Optim. Appl., 2016

On the cone eigenvalue complementarity problem for higher-order tensors.

Chen Ling, Hongjin He, Liqun Qi

Comput. Optim. Appl., 2016

A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA.

Liusheng Hou, Hongjin He, Junfeng Yang

Comput. Optim. Appl., 2016

A distributed Douglas-Rachford splitting method for multi-block convex minimization problems.

Hongjin He, Deren Han

Adv. Comput. Math., 2016

2015

A note on augmented Lagrangian-based parallel splitting method.

Kai Wang, Jitamitra Desai, Hongjin He

Optim. Lett., 2015

A Relaxed Projection Method for Split Variational Inequalities.

Hongjin He, Chen Ling, Hong-Kun Xu

J. Optim. Theory Appl., 2015

A class of nonlinear proximal point algorithms for variational inequality problems.

Hongjin He, Xingju Cai, Deren Han

Int. J. Comput. Math., 2015

A fast splitting method tailored for Dantzig selector.

Hongjin He, Xingju Cai, Deren Han

Comput. Optim. Appl., 2015

2014

A customized Douglas-Rachford splitting algorithm for separable convex minimization with linear constraints.

Deren Han, Hongjin He, Hai Yang, Xiaoming Yuan

Numerische Mathematik, 2014

A proximal parallel splitting method for minimizing sum of convex functions with linear constraints.

Deren Han, Hongjin He, Lingling Xu

J. Comput. Appl. Math., 2014

A new Levenberg-Marquardt type algorithm for solving nonsmooth constrained equations.

Chen Ling, Guifeng Wang, Hongjin He

Appl. Math. Comput., 2014

2013

A hybrid splitting method for variational inequality problems with separable structure.

Hongjin He, Deren Han, Wenyu Sun, Yannan Chen

Optim. Methods Softw., 2013

A Progressive equilibration Algorithm for General Market equilibrium Problems under Constraints.

Gang Qian, Hongjin He, Deren Han

Asia Pac. J. Oper. Res., 2013

2012

Some projection methods with the BB step sizes for variational inequalities.

Hongjin He, Deren Han, Zhibao Li

J. Comput. Appl. Math., 2012